Dataset statistics
| Number of variables | 38 |
|---|---|
| Number of observations | 18923 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 1250 |
| Duplicate rows (%) | 6.6% |
| Total size in memory | 3.6 MiB |
| Average record size in memory | 200.0 B |
Variable types
| Numeric | 7 |
|---|---|
| Categorical | 31 |
| Dataset has 1250 (6.6%) duplicate rows | Duplicates |
4x4 is highly overall correlated with Cylinders and 1 other fields | High correlation |
Airbags is highly overall correlated with South Korea | High correlation |
Automatic is highly overall correlated with Manual | High correlation |
Cylinders is highly overall correlated with 4x4 and 2 other fields | High correlation |
Diesel is highly overall correlated with Petrol | High correlation |
Engine volume int is highly overall correlated with Cylinders and 1 other fields | High correlation |
Front is highly overall correlated with 4x4 and 2 other fields | High correlation |
Hybrid is highly overall correlated with Petrol | High correlation |
Jeep is highly overall correlated with Sedan | High correlation |
Manual is highly overall correlated with Automatic and 1 other fields | High correlation |
Petrol is highly overall correlated with Diesel and 1 other fields | High correlation |
Prod. year is highly overall correlated with Manual and 1 other fields | High correlation |
Russia is highly overall correlated with Prod. year | High correlation |
Sedan is highly overall correlated with Jeep | High correlation |
South Korea is highly overall correlated with Airbags | High correlation |
Wheel is highly imbalanced (60.9%) | Imbalance |
China is highly imbalanced (99.8%) | Imbalance |
France is highly imbalanced (96.8%) | Imbalance |
Italy is highly imbalanced (95.7%) | Imbalance |
Russia is highly imbalanced (96.2%) | Imbalance |
Sweden is highly imbalanced (98.8%) | Imbalance |
UK is highly imbalanced (93.5%) | Imbalance |
Coupe is highly imbalanced (80.7%) | Imbalance |
Goods wagon is highly imbalanced (90.6%) | Imbalance |
Microbus is highly imbalanced (88.3%) | Imbalance |
Minivan is highly imbalanced (78.9%) | Imbalance |
Pickup is highly imbalanced (97.3%) | Imbalance |
Universal is highly imbalanced (86.4%) | Imbalance |
LPG is highly imbalanced (72.7%) | Imbalance |
Turbo is highly imbalanced (53.1%) | Imbalance |
Manual is highly imbalanced (53.9%) | Imbalance |
Variator is highly imbalanced (76.4%) | Imbalance |
Price is highly skewed (γ1 = 135.3841522) | Skewed |
Mileage is highly skewed (γ1 = 38.57749563) | Skewed |
Levy has 5708 (30.2%) zeros | Zeros |
Mileage has 714 (3.8%) zeros | Zeros |
Airbags has 2384 (12.6%) zeros | Zeros |
Reproduction
| Analysis started | 2024-10-03 12:42:35.369537 |
|---|---|
| Analysis finished | 2024-10-03 12:42:43.034517 |
| Duration | 7.66 seconds |
| Software version | ydata-profiling vv4.10.0 |
| Download configuration | config.json |
Price
Real number (ℝ)
SKEWED
| Distinct | 2315 |
|---|---|
| Distinct (%) | 12.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 18587.34 |
| Minimum | 1 |
|---|---|
| Maximum | 26307500 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 295.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 314 |
| Q1 | 5331 |
| median | 13172 |
| Q3 | 22063 |
| 95-th percentile | 49417.2 |
| Maximum | 26307500 |
| Range | 26307499 |
| Interquartile range (IQR) | 16732 |
Descriptive statistics
| Standard deviation | 192140.71 |
|---|---|
| Coefficient of variation (CV) | 10.337181 |
| Kurtosis | 18523.112 |
| Mean | 18587.34 |
| Median Absolute Deviation (MAD) | 8311 |
| Skewness | 135.38415 |
| Sum | 3.5172824 × 108 |
| Variance | 3.6918051 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 15681 | 274 | 1.4% |
| 470 | 264 | 1.4% |
| 392 | 237 | 1.3% |
| 14113 | 236 | 1.2% |
| 10976 | 233 | 1.2% |
| 314 | 232 | 1.2% |
| 12544 | 221 | 1.2% |
| 7840 | 220 | 1.2% |
| 18817 | 213 | 1.1% |
| 17249 | 213 | 1.1% |
| Other values (2305) | 16580 |
| Value | Count | Frequency (%) |
| 1 | 2 | < 0.1% |
| 3 | 15 | 0.1% |
| 6 | 6 | < 0.1% |
| 9 | 1 | < 0.1% |
| 19 | 1 | < 0.1% |
| 20 | 7 | < 0.1% |
| 25 | 16 | 0.1% |
| 28 | 1 | < 0.1% |
| 30 | 77 | |
| 31 | 13 | 0.1% |
| Value | Count | Frequency (%) |
| 26307500 | 1 | |
| 872946 | 1 | |
| 627220 | 1 | |
| 308906 | 1 | |
| 297930 | 2 | |
| 288521 | 1 | |
| 260296 | 1 | |
| 254024 | 1 | |
| 250574 | 1 | |
| 228935 | 1 |
Levy
Real number (ℝ)
ZEROS
| Distinct | 559 |
|---|---|
| Distinct (%) | 3.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 632.91994 |
| Minimum | 0 |
|---|---|
| Maximum | 11714 |
| Zeros | 5708 |
| Zeros (%) | 30.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 295.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 642 |
| Q3 | 917 |
| 95-th percentile | 1537 |
| Maximum | 11714 |
| Range | 11714 |
| Interquartile range (IQR) | 917 |
Descriptive statistics
| Standard deviation | 568.27013 |
|---|---|
| Coefficient of variation (CV) | 0.89785468 |
| Kurtosis | 29.586319 |
| Mean | 632.91994 |
| Median Absolute Deviation (MAD) | 382 |
| Skewness | 2.4038806 |
| Sum | 11976744 |
| Variance | 322930.94 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 5708 | |
| 765 | 482 | 2.5% |
| 891 | 453 | 2.4% |
| 639 | 403 | 2.1% |
| 640 | 398 | 2.1% |
| 781 | 294 | 1.6% |
| 1017 | 291 | 1.5% |
| 707 | 268 | 1.4% |
| 642 | 259 | 1.4% |
| 836 | 259 | 1.4% |
| Other values (549) | 10108 |
| Value | Count | Frequency (%) |
| 0 | 5708 | |
| 87 | 10 | 0.1% |
| 115 | 1 | < 0.1% |
| 155 | 7 | < 0.1% |
| 167 | 2 | < 0.1% |
| 173 | 1 | < 0.1% |
| 175 | 1 | < 0.1% |
| 247 | 6 | < 0.1% |
| 259 | 47 | 0.2% |
| 271 | 29 | 0.2% |
| Value | Count | Frequency (%) |
| 11714 | 2 | |
| 11706 | 1 | |
| 7536 | 1 | |
| 7063 | 1 | |
| 7058 | 1 | |
| 5908 | 1 | |
| 5877 | 1 | |
| 5681 | 1 | |
| 5679 | 2 | |
| 5666 | 1 |
Prod. year
Real number (ℝ)
HIGH CORRELATION
| Distinct | 54 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2010.9142 |
| Minimum | 1939 |
|---|---|
| Maximum | 2020 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 295.7 KiB |
Quantile statistics
| Minimum | 1939 |
|---|---|
| 5-th percentile | 1999 |
| Q1 | 2009 |
| median | 2012 |
| Q3 | 2015 |
| 95-th percentile | 2017 |
| Maximum | 2020 |
| Range | 81 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 5.6658934 |
|---|---|
| Coefficient of variation (CV) | 0.002817571 |
| Kurtosis | 11.449452 |
| Mean | 2010.9142 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -2.0885162 |
| Sum | 38052529 |
| Variance | 32.102348 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2012 | 2130 | |
| 2014 | 2090 | |
| 2013 | 1913 | |
| 2011 | 1582 | 8.4% |
| 2015 | 1527 | 8.1% |
| 2010 | 1463 | 7.7% |
| 2016 | 1449 | 7.7% |
| 2017 | 941 | 5.0% |
| 2008 | 731 | 3.9% |
| 2009 | 595 | 3.1% |
| Other values (44) | 4502 |
| Value | Count | Frequency (%) |
| 1939 | 3 | |
| 1943 | 1 | < 0.1% |
| 1947 | 1 | < 0.1% |
| 1953 | 4 | |
| 1957 | 1 | < 0.1% |
| 1964 | 2 | |
| 1965 | 2 | |
| 1968 | 1 | < 0.1% |
| 1973 | 1 | < 0.1% |
| 1974 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 2020 | 47 | 0.2% |
| 2019 | 304 | 1.6% |
| 2018 | 491 | 2.6% |
| 2017 | 941 | |
| 2016 | 1449 | |
| 2015 | 1527 | |
| 2014 | 2090 | |
| 2013 | 1913 | |
| 2012 | 2130 | |
| 2011 | 1582 |
Leather interior
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 13730 | |
| 1 | 5193 | 27.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 13730 | |
| 1 | 5193 | 27.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 13730 | |
| 1 | 5193 | 27.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 13730 | |
| 1 | 5193 | 27.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 13730 | |
| 1 | 5193 | 27.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 13730 | |
| 1 | 5193 | 27.4% |
Mileage
Real number (ℝ)
SKEWED ZEROS
| Distinct | 7687 |
|---|---|
| Distinct (%) | 40.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1555448.7 |
| Minimum | 0 |
|---|---|
| Maximum | 2.1474836 × 109 |
| Zeros | 714 |
| Zeros (%) | 3.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 295.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2222 |
| Q1 | 70195.5 |
| median | 126400 |
| Q3 | 189135.5 |
| 95-th percentile | 320554 |
| Maximum | 2.1474836 × 109 |
| Range | 2.1474836 × 109 |
| Interquartile range (IQR) | 118940 |
Descriptive statistics
| Standard deviation | 48803494 |
|---|---|
| Coefficient of variation (CV) | 31.375829 |
| Kurtosis | 1572.5888 |
| Mean | 1555448.7 |
| Median Absolute Deviation (MAD) | 59019 |
| Skewness | 38.577496 |
| Sum | 2.9433757 × 1010 |
| Variance | 2.381781 × 1015 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 714 | 3.8% |
| 200000 | 181 | 1.0% |
| 150000 | 159 | 0.8% |
| 160000 | 120 | 0.6% |
| 180000 | 117 | 0.6% |
| 100000 | 105 | 0.6% |
| 1000 | 100 | 0.5% |
| 170000 | 99 | 0.5% |
| 120000 | 98 | 0.5% |
| 130000 | 84 | 0.4% |
| Other values (7677) | 17146 |
| Value | Count | Frequency (%) |
| 0 | 714 | |
| 13 | 1 | < 0.1% |
| 18 | 1 | < 0.1% |
| 21 | 1 | < 0.1% |
| 98 | 1 | < 0.1% |
| 102 | 1 | < 0.1% |
| 120 | 2 | < 0.1% |
| 261 | 1 | < 0.1% |
| 429 | 1 | < 0.1% |
| 498 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 2147483647 | 7 | |
| 1777777778 | 1 | < 0.1% |
| 1234567899 | 1 | < 0.1% |
| 1111111111 | 2 | < 0.1% |
| 999999999 | 5 | |
| 777777777 | 1 | < 0.1% |
| 222222222 | 1 | < 0.1% |
| 111111111 | 1 | < 0.1% |
| 58008888 | 1 | < 0.1% |
| 55556665 | 1 | < 0.1% |
Cylinders
Real number (ℝ)
HIGH CORRELATION
| Distinct | 13 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.5801406 |
| Minimum | 1 |
|---|---|
| Maximum | 16 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 295.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 4 |
| median | 4 |
| Q3 | 4 |
| 95-th percentile | 8 |
| Maximum | 16 |
| Range | 15 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.20021 |
|---|---|
| Coefficient of variation (CV) | 0.26204654 |
| Kurtosis | 6.5885006 |
| Mean | 4.5801406 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.1079855 |
| Sum | 86670 |
| Variance | 1.440504 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 4 | 14159 | |
| 6 | 3372 | 17.8% |
| 8 | 976 | 5.2% |
| 5 | 169 | 0.9% |
| 3 | 107 | 0.6% |
| 2 | 42 | 0.2% |
| 12 | 38 | 0.2% |
| 1 | 37 | 0.2% |
| 10 | 12 | 0.1% |
| 16 | 5 | < 0.1% |
| Other values (3) | 6 | < 0.1% |
| Value | Count | Frequency (%) |
| 1 | 37 | 0.2% |
| 2 | 42 | 0.2% |
| 3 | 107 | 0.6% |
| 4 | 14159 | |
| 5 | 169 | 0.9% |
| 6 | 3372 | 17.8% |
| 7 | 4 | < 0.1% |
| 8 | 976 | 5.2% |
| 9 | 1 | < 0.1% |
| 10 | 12 | 0.1% |
| Value | Count | Frequency (%) |
| 16 | 5 | < 0.1% |
| 14 | 1 | < 0.1% |
| 12 | 38 | 0.2% |
| 10 | 12 | 0.1% |
| 9 | 1 | < 0.1% |
| 8 | 976 | 5.2% |
| 7 | 4 | < 0.1% |
| 6 | 3372 | 17.8% |
| 5 | 169 | 0.9% |
| 4 | 14159 |
Wheel
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 | 1453 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 17470 | |
| 1 | 1453 | 7.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 17470 | |
| 1 | 1453 | 7.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 17470 | |
| 1 | 1453 | 7.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 17470 | |
| 1 | 1453 | 7.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 17470 | |
| 1 | 1453 | 7.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 17470 | |
| 1 | 1453 | 7.7% |
Airbags
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 17 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.5683031 |
| Minimum | 0 |
|---|---|
| Maximum | 16 |
| Zeros | 2384 |
| Zeros (%) | 12.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 295.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 4 |
| median | 6 |
| Q3 | 12 |
| 95-th percentile | 12 |
| Maximum | 16 |
| Range | 16 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 4.3224248 |
|---|---|
| Coefficient of variation (CV) | 0.65807329 |
| Kurtosis | -1.3321663 |
| Mean | 6.5683031 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 0.086392834 |
| Sum | 124292 |
| Variance | 18.683356 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=17)
| Value | Count | Frequency (%) |
| 4 | 5733 | |
| 12 | 5534 | |
| 0 | 2384 | |
| 8 | 1568 | 8.3% |
| 6 | 1289 | 6.8% |
| 2 | 1051 | 5.6% |
| 10 | 845 | 4.5% |
| 5 | 104 | 0.5% |
| 16 | 93 | 0.5% |
| 7 | 85 | 0.4% |
| Other values (7) | 237 | 1.3% |
| Value | Count | Frequency (%) |
| 0 | 2384 | |
| 1 | 76 | 0.4% |
| 2 | 1051 | 5.6% |
| 3 | 37 | 0.2% |
| 4 | 5733 | |
| 5 | 104 | 0.5% |
| 6 | 1289 | 6.8% |
| 7 | 85 | 0.4% |
| 8 | 1568 | 8.3% |
| 9 | 62 | 0.3% |
| Value | Count | Frequency (%) |
| 16 | 93 | 0.5% |
| 15 | 7 | < 0.1% |
| 14 | 20 | 0.1% |
| 13 | 2 | < 0.1% |
| 12 | 5534 | |
| 11 | 33 | 0.2% |
| 10 | 845 | 4.5% |
| 9 | 62 | 0.3% |
| 8 | 1568 | 8.3% |
| 7 | 85 | 0.4% |
China
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 | 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 18921 | |
| 1 | 2 | < 0.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 18921 | |
| 1 | 2 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18921 | |
| 1 | 2 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18921 | |
| 1 | 2 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18921 | |
| 1 | 2 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18921 | |
| 1 | 2 | < 0.1% |
France
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 | 62 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 18861 | |
| 1 | 62 | 0.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 18861 | |
| 1 | 62 | 0.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18861 | |
| 1 | 62 | 0.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18861 | |
| 1 | 62 | 0.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18861 | |
| 1 | 62 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18861 | |
| 1 | 62 | 0.3% |
Germany
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 14571 | |
| 1 | 4352 | 23.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 14571 | |
| 1 | 4352 | 23.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 14571 | |
| 1 | 4352 | 23.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 14571 | |
| 1 | 4352 | 23.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 14571 | |
| 1 | 4352 | 23.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 14571 | |
| 1 | 4352 | 23.0% |
Italy
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 | 88 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 18835 | |
| 1 | 88 | 0.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 18835 | |
| 1 | 88 | 0.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18835 | |
| 1 | 88 | 0.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18835 | |
| 1 | 88 | 0.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18835 | |
| 1 | 88 | 0.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18835 | |
| 1 | 88 | 0.5% |
Japan
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 11907 | |
| 1 | 7016 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 11907 | |
| 1 | 7016 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 11907 | |
| 1 | 7016 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 11907 | |
| 1 | 7016 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 11907 | |
| 1 | 7016 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 11907 | |
| 1 | 7016 |
Russia
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 | 77 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 18846 | |
| 1 | 77 | 0.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 18846 | |
| 1 | 77 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18846 | |
| 1 | 77 | 0.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18846 | |
| 1 | 77 | 0.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18846 | |
| 1 | 77 | 0.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18846 | |
| 1 | 77 | 0.4% |
South Korea
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 14248 | |
| 1 | 4675 | 24.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 14248 | |
| 1 | 4675 | 24.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 14248 | |
| 1 | 4675 | 24.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 14248 | |
| 1 | 4675 | 24.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 14248 | |
| 1 | 4675 | 24.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 14248 | |
| 1 | 4675 | 24.7% |
Sweden
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 | 21 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 18902 | |
| 1 | 21 | 0.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 18902 | |
| 1 | 21 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18902 | |
| 1 | 21 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18902 | |
| 1 | 21 | 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18902 | |
| 1 | 21 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18902 | |
| 1 | 21 | 0.1% |
UK
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 | 145 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 18778 | |
| 1 | 145 | 0.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 18778 | |
| 1 | 145 | 0.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18778 | |
| 1 | 145 | 0.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18778 | |
| 1 | 145 | 0.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18778 | |
| 1 | 145 | 0.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18778 | |
| 1 | 145 | 0.8% |
USA
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 16462 | |
| 1 | 2461 | 13.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 16462 | |
| 1 | 2461 | 13.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 16462 | |
| 1 | 2461 | 13.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 16462 | |
| 1 | 2461 | 13.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 16462 | |
| 1 | 2461 | 13.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 16462 | |
| 1 | 2461 | 13.0% |
Coupe
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 | 563 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 18360 | |
| 1 | 563 | 3.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 18360 | |
| 1 | 563 | 3.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18360 | |
| 1 | 563 | 3.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18360 | |
| 1 | 563 | 3.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18360 | |
| 1 | 563 | 3.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18360 | |
| 1 | 563 | 3.0% |
Goods wagon
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 | 229 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 18694 | |
| 1 | 229 | 1.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 18694 | |
| 1 | 229 | 1.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18694 | |
| 1 | 229 | 1.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18694 | |
| 1 | 229 | 1.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18694 | |
| 1 | 229 | 1.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18694 | |
| 1 | 229 | 1.2% |
Hatchback
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 16124 | |
| 1 | 2799 | 14.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 16124 | |
| 1 | 2799 | 14.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 16124 | |
| 1 | 2799 | 14.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 16124 | |
| 1 | 2799 | 14.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 16124 | |
| 1 | 2799 | 14.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 16124 | |
| 1 | 2799 | 14.8% |
Jeep
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 13545 | |
| 1 | 5378 | 28.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 13545 | |
| 1 | 5378 | 28.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 13545 | |
| 1 | 5378 | 28.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 13545 | |
| 1 | 5378 | 28.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 13545 | |
| 1 | 5378 | 28.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 13545 | |
| 1 | 5378 | 28.4% |
Microbus
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 | 299 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 18624 | |
| 1 | 299 | 1.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 18624 | |
| 1 | 299 | 1.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18624 | |
| 1 | 299 | 1.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18624 | |
| 1 | 299 | 1.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18624 | |
| 1 | 299 | 1.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18624 | |
| 1 | 299 | 1.6% |
Minivan
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 | 633 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 18290 | |
| 1 | 633 | 3.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 18290 | |
| 1 | 633 | 3.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18290 | |
| 1 | 633 | 3.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18290 | |
| 1 | 633 | 3.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18290 | |
| 1 | 633 | 3.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18290 | |
| 1 | 633 | 3.3% |
Pickup
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 | 51 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 18872 | |
| 1 | 51 | 0.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 18872 | |
| 1 | 51 | 0.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18872 | |
| 1 | 51 | 0.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18872 | |
| 1 | 51 | 0.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18872 | |
| 1 | 51 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18872 | |
| 1 | 51 | 0.3% |
Sedan
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 10324 | |
| 1 | 8599 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 10324 | |
| 1 | 8599 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 10324 | |
| 1 | 8599 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 10324 | |
| 1 | 8599 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 10324 | |
| 1 | 8599 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 10324 | |
| 1 | 8599 |
Universal
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 | 361 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 18562 | |
| 1 | 361 | 1.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 18562 | |
| 1 | 361 | 1.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18562 | |
| 1 | 361 | 1.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18562 | |
| 1 | 361 | 1.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18562 | |
| 1 | 361 | 1.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18562 | |
| 1 | 361 | 1.9% |
Diesel
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 14922 | |
| 1 | 4001 | 21.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 14922 | |
| 1 | 4001 | 21.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 14922 | |
| 1 | 4001 | 21.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 14922 | |
| 1 | 4001 | 21.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 14922 | |
| 1 | 4001 | 21.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 14922 | |
| 1 | 4001 | 21.1% |
Hybrid
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 15299 | |
| 1 | 3624 | 19.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 15299 | |
| 1 | 3624 | 19.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 15299 | |
| 1 | 3624 | 19.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 15299 | |
| 1 | 3624 | 19.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 15299 | |
| 1 | 3624 | 19.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 15299 | |
| 1 | 3624 | 19.2% |
LPG
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 | 885 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 18038 | |
| 1 | 885 | 4.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 18038 | |
| 1 | 885 | 4.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18038 | |
| 1 | 885 | 4.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18038 | |
| 1 | 885 | 4.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18038 | |
| 1 | 885 | 4.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18038 | |
| 1 | 885 | 4.7% |
Petrol
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 9944 | |
| 0 | 8979 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 9944 | |
| 0 | 8979 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 9944 | |
| 0 | 8979 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 9944 | |
| 0 | 8979 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 9944 | |
| 0 | 8979 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 9944 | |
| 0 | 8979 |
Engine volume int
Real number (ℝ)
HIGH CORRELATION
| Distinct | 65 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.3062464 |
| Minimum | 0 |
|---|---|
| Maximum | 20 |
| Zeros | 10 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 295.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1.4 |
| Q1 | 1.8 |
| median | 2 |
| Q3 | 2.5 |
| 95-th percentile | 4 |
| Maximum | 20 |
| Range | 20 |
| Interquartile range (IQR) | 0.7 |
Descriptive statistics
| Standard deviation | 0.87761392 |
|---|---|
| Coefficient of variation (CV) | 0.3805378 |
| Kurtosis | 19.554616 |
| Mean | 2.3062464 |
| Median Absolute Deviation (MAD) | 0.4 |
| Skewness | 2.2080112 |
| Sum | 43641.1 |
| Variance | 0.7702062 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2 | 4259 | |
| 2.5 | 2337 | |
| 1.8 | 1918 | |
| 1.6 | 1562 | 8.3% |
| 1.5 | 1354 | 7.2% |
| 3.5 | 1219 | 6.4% |
| 3 | 1086 | 5.7% |
| 2.4 | 1026 | 5.4% |
| 1.3 | 534 | 2.8% |
| 1.4 | 517 | 2.7% |
| Other values (55) | 3111 |
| Value | Count | Frequency (%) |
| 0 | 10 | 0.1% |
| 0.1 | 4 | < 0.1% |
| 0.2 | 10 | 0.1% |
| 0.3 | 3 | < 0.1% |
| 0.4 | 23 | |
| 0.5 | 1 | < 0.1% |
| 0.6 | 7 | < 0.1% |
| 0.7 | 25 | |
| 0.8 | 9 | < 0.1% |
| 0.9 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 20 | 2 | < 0.1% |
| 7.3 | 1 | < 0.1% |
| 6.8 | 1 | < 0.1% |
| 6.7 | 1 | < 0.1% |
| 6.4 | 2 | < 0.1% |
| 6.3 | 7 | < 0.1% |
| 6.2 | 24 | |
| 6 | 5 | < 0.1% |
| 5.9 | 3 | < 0.1% |
| 5.8 | 1 | < 0.1% |
Turbo
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 56769 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 17031 | |
| 1.0 | 1892 | 10.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0.0 | 17031 | |
| 1.0 | 1892 | 10.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 35954 | |
| . | 18923 | |
| 1 | 1892 | 3.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 56769 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 35954 | |
| . | 18923 | |
| 1 | 1892 | 3.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 56769 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 35954 | |
| . | 18923 | |
| 1 | 1892 | 3.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 56769 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 35954 | |
| . | 18923 | |
| 1 | 1892 | 3.3% |
Automatic
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 13282 | |
| 0 | 5641 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 13282 | |
| 0 | 5641 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 13282 | |
| 0 | 5641 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 13282 | |
| 0 | 5641 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 13282 | |
| 0 | 5641 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 13282 | |
| 0 | 5641 |
Manual
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 17079 | |
| 1 | 1844 | 9.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 17079 | |
| 1 | 1844 | 9.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 17079 | |
| 1 | 1844 | 9.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 17079 | |
| 1 | 1844 | 9.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 17079 | |
| 1 | 1844 | 9.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 17079 | |
| 1 | 1844 | 9.7% |
Variator
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 | 733 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 18190 | |
| 1 | 733 | 3.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 18190 | |
| 1 | 733 | 3.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18190 | |
| 1 | 733 | 3.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18190 | |
| 1 | 733 | 3.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18190 | |
| 1 | 733 | 3.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18190 | |
| 1 | 733 | 3.9% |
4x4
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 14954 | |
| 1 | 3969 | 21.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 14954 | |
| 1 | 3969 | 21.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 14954 | |
| 1 | 3969 | 21.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 14954 | |
| 1 | 3969 | 21.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 14954 | |
| 1 | 3969 | 21.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 14954 | |
| 1 | 3969 | 21.0% |
Front
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 295.7 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 18923 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 12694 | |
| 0 | 6229 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 12694 | |
| 0 | 6229 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 12694 | |
| 0 | 6229 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 12694 | |
| 0 | 6229 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 12694 | |
| 0 | 6229 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18923 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 12694 | |
| 0 | 6229 |
| 4x4 | Airbags | Automatic | China | Coupe | Cylinders | Diesel | Engine volume int | France | Front | Germany | Goods wagon | Hatchback | Hybrid | Italy | Japan | Jeep | LPG | Leather interior | Levy | Manual | Microbus | Mileage | Minivan | Petrol | Pickup | Price | Prod. year | Russia | Sedan | South Korea | Sweden | Turbo | UK | USA | Universal | Variator | Wheel | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4x4 | 1.000 | 0.326 | 0.000 | 0.000 | 0.063 | 0.523 | 0.000 | 0.433 | 0.018 | 0.735 | 0.199 | 0.046 | 0.178 | 0.102 | 0.018 | 0.142 | 0.493 | 0.058 | 0.088 | 0.295 | 0.076 | 0.056 | 0.000 | 0.057 | 0.096 | 0.052 | 0.000 | 0.107 | 0.035 | 0.251 | 0.271 | 0.000 | 0.057 | 0.061 | 0.120 | 0.023 | 0.060 | 0.002 |
| Airbags | 0.326 | 1.000 | 0.424 | 0.000 | 0.051 | 0.213 | 0.308 | 0.244 | 0.045 | 0.376 | 0.261 | 0.173 | 0.148 | 0.280 | 0.045 | 0.251 | 0.167 | 0.226 | 0.467 | 0.138 | 0.384 | 0.268 | -0.032 | 0.148 | 0.147 | 0.025 | -0.053 | 0.176 | 0.115 | 0.202 | 0.547 | 0.031 | 0.226 | 0.038 | 0.065 | 0.120 | 0.153 | 0.316 |
| Automatic | 0.000 | 0.424 | 1.000 | 0.007 | 0.075 | 0.118 | 0.056 | 0.058 | 0.070 | 0.177 | 0.307 | 0.160 | 0.021 | 0.111 | 0.042 | 0.073 | 0.142 | 0.063 | 0.368 | 0.121 | 0.504 | 0.187 | 0.030 | 0.007 | 0.121 | 0.024 | 0.000 | 0.351 | 0.095 | 0.000 | 0.238 | 0.009 | 0.355 | 0.050 | 0.032 | 0.011 | 0.308 | 0.080 |
| China | 0.000 | 0.000 | 0.007 | 1.000 | 0.000 | 0.076 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.021 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| Coupe | 0.063 | 0.051 | 0.075 | 0.000 | 1.000 | 0.078 | 0.065 | 0.060 | 0.000 | 0.083 | 0.091 | 0.016 | 0.072 | 0.076 | 0.118 | 0.082 | 0.110 | 0.033 | 0.018 | 0.037 | 0.074 | 0.020 | 0.000 | 0.031 | 0.132 | 0.000 | 0.000 | 0.082 | 0.000 | 0.159 | 0.025 | 0.004 | 0.026 | 0.054 | 0.000 | 0.022 | 0.032 | 0.014 |
| Cylinders | 0.523 | 0.213 | 0.118 | 0.076 | 0.078 | 1.000 | 0.122 | 0.689 | 0.020 | 0.643 | 0.446 | 0.076 | 0.205 | 0.138 | 0.021 | 0.095 | 0.257 | 0.048 | 0.210 | 0.183 | 0.115 | 0.123 | 0.158 | 0.048 | 0.167 | 0.031 | -0.030 | -0.162 | 0.056 | 0.084 | 0.301 | 0.132 | 0.100 | 0.049 | 0.100 | 0.057 | 0.095 | 0.092 |
| Diesel | 0.000 | 0.308 | 0.056 | 0.000 | 0.065 | 0.122 | 1.000 | 0.165 | 0.032 | 0.048 | 0.150 | 0.134 | 0.187 | 0.252 | 0.024 | 0.368 | 0.253 | 0.114 | 0.114 | 0.050 | 0.135 | 0.227 | 0.000 | 0.176 | 0.545 | 0.039 | 0.000 | 0.084 | 0.027 | 0.255 | 0.257 | 0.002 | 0.194 | 0.018 | 0.007 | 0.098 | 0.103 | 0.132 |
| Engine volume int | 0.433 | 0.244 | 0.058 | 0.000 | 0.060 | 0.689 | 0.165 | 1.000 | 0.042 | 0.519 | 0.229 | 0.040 | 0.343 | 0.110 | 0.045 | 0.081 | 0.237 | 0.115 | 0.196 | 0.339 | 0.071 | 0.133 | 0.159 | 0.160 | 0.179 | 0.042 | 0.056 | -0.040 | 0.029 | 0.086 | 0.222 | 0.029 | 0.020 | 0.034 | 0.059 | 0.039 | 0.121 | 0.144 |
| France | 0.018 | 0.045 | 0.070 | 0.000 | 0.000 | 0.020 | 0.032 | 0.042 | 1.000 | 0.030 | 0.029 | 0.057 | 0.026 | 0.023 | 0.000 | 0.042 | 0.024 | 0.008 | 0.065 | 0.000 | 0.129 | 0.000 | 0.000 | 0.001 | 0.000 | 0.000 | 0.000 | 0.050 | 0.000 | 0.024 | 0.031 | 0.000 | 0.059 | 0.000 | 0.019 | 0.049 | 0.005 | 0.000 |
| Front | 0.735 | 0.376 | 0.177 | 0.000 | 0.083 | 0.643 | 0.048 | 0.519 | 0.030 | 1.000 | 0.488 | 0.015 | 0.250 | 0.201 | 0.028 | 0.021 | 0.296 | 0.078 | 0.047 | 0.282 | 0.102 | 0.123 | 0.005 | 0.047 | 0.120 | 0.055 | 0.000 | 0.256 | 0.074 | 0.125 | 0.374 | 0.000 | 0.188 | 0.053 | 0.115 | 0.036 | 0.100 | 0.022 |
| Germany | 0.199 | 0.261 | 0.307 | 0.000 | 0.091 | 0.446 | 0.150 | 0.229 | 0.029 | 0.488 | 1.000 | 0.086 | 0.137 | 0.257 | 0.036 | 0.419 | 0.058 | 0.060 | 0.025 | 0.067 | 0.247 | 0.036 | 0.026 | 0.016 | 0.061 | 0.019 | 0.000 | 0.301 | 0.033 | 0.099 | 0.313 | 0.015 | 0.264 | 0.047 | 0.211 | 0.000 | 0.105 | 0.087 |
| Goods wagon | 0.046 | 0.173 | 0.160 | 0.000 | 0.016 | 0.076 | 0.134 | 0.040 | 0.057 | 0.015 | 0.086 | 1.000 | 0.045 | 0.053 | 0.000 | 0.073 | 0.069 | 0.015 | 0.166 | 0.000 | 0.310 | 0.010 | 0.000 | 0.018 | 0.070 | 0.000 | 0.032 | 0.153 | 0.000 | 0.100 | 0.059 | 0.000 | 0.151 | 0.000 | 0.062 | 0.012 | 0.020 | 0.001 |
| Hatchback | 0.178 | 0.148 | 0.021 | 0.000 | 0.072 | 0.205 | 0.187 | 0.343 | 0.026 | 0.250 | 0.137 | 0.045 | 1.000 | 0.302 | 0.024 | 0.314 | 0.262 | 0.065 | 0.245 | 0.096 | 0.004 | 0.052 | 0.000 | 0.077 | 0.047 | 0.019 | 0.000 | 0.047 | 0.014 | 0.380 | 0.198 | 0.009 | 0.086 | 0.004 | 0.029 | 0.057 | 0.254 | 0.281 |
| Hybrid | 0.102 | 0.280 | 0.111 | 0.000 | 0.076 | 0.138 | 0.252 | 0.110 | 0.023 | 0.201 | 0.257 | 0.053 | 0.302 | 1.000 | 0.031 | 0.414 | 0.132 | 0.107 | 0.035 | 0.040 | 0.157 | 0.061 | 0.000 | 0.081 | 0.512 | 0.023 | 0.000 | 0.171 | 0.029 | 0.000 | 0.205 | 0.012 | 0.149 | 0.041 | 0.020 | 0.026 | 0.210 | 0.002 |
| Italy | 0.018 | 0.045 | 0.042 | 0.000 | 0.118 | 0.021 | 0.024 | 0.045 | 0.000 | 0.028 | 0.036 | 0.000 | 0.024 | 0.031 | 1.000 | 0.051 | 0.020 | 0.011 | 0.000 | 0.005 | 0.054 | 0.000 | 0.000 | 0.000 | 0.056 | 0.000 | 0.000 | 0.024 | 0.000 | 0.033 | 0.038 | 0.000 | 0.013 | 0.000 | 0.024 | 0.000 | 0.002 | 0.010 |
| Japan | 0.142 | 0.251 | 0.073 | 0.000 | 0.082 | 0.095 | 0.368 | 0.081 | 0.042 | 0.021 | 0.419 | 0.073 | 0.314 | 0.414 | 0.051 | 1.000 | 0.015 | 0.107 | 0.195 | 0.103 | 0.159 | 0.095 | 0.000 | 0.018 | 0.023 | 0.028 | 0.000 | 0.089 | 0.048 | 0.160 | 0.440 | 0.023 | 0.167 | 0.066 | 0.297 | 0.024 | 0.225 | 0.296 |
| Jeep | 0.493 | 0.167 | 0.142 | 0.000 | 0.110 | 0.257 | 0.253 | 0.237 | 0.024 | 0.296 | 0.058 | 0.069 | 0.262 | 0.132 | 0.020 | 0.015 | 1.000 | 0.093 | 0.196 | 0.162 | 0.140 | 0.079 | 0.000 | 0.117 | 0.064 | 0.031 | 0.000 | 0.073 | 0.000 | 0.575 | 0.042 | 0.000 | 0.028 | 0.043 | 0.003 | 0.087 | 0.094 | 0.120 |
| LPG | 0.058 | 0.226 | 0.063 | 0.000 | 0.033 | 0.048 | 0.114 | 0.115 | 0.008 | 0.078 | 0.060 | 0.015 | 0.065 | 0.107 | 0.011 | 0.107 | 0.093 | 1.000 | 0.069 | 0.083 | 0.052 | 0.024 | 0.000 | 0.012 | 0.233 | 0.000 | 0.000 | 0.066 | 0.010 | 0.149 | 0.236 | 0.000 | 0.062 | 0.013 | 0.058 | 0.000 | 0.021 | 0.000 |
| Leather interior | 0.088 | 0.467 | 0.368 | 0.000 | 0.018 | 0.210 | 0.114 | 0.196 | 0.065 | 0.047 | 0.025 | 0.166 | 0.245 | 0.035 | 0.000 | 0.195 | 0.196 | 0.069 | 1.000 | 0.114 | 0.388 | 0.163 | 0.037 | 0.056 | 0.054 | 0.030 | 0.000 | 0.367 | 0.080 | 0.100 | 0.231 | 0.000 | 0.104 | 0.034 | 0.027 | 0.032 | 0.190 | 0.346 |
| Levy | 0.295 | 0.138 | 0.121 | 0.000 | 0.037 | 0.183 | 0.050 | 0.339 | 0.000 | 0.282 | 0.067 | 0.000 | 0.096 | 0.040 | 0.005 | 0.103 | 0.162 | 0.083 | 0.114 | 1.000 | 0.053 | 0.000 | -0.047 | 0.024 | 0.071 | 0.039 | 0.002 | 0.392 | 0.013 | 0.094 | 0.149 | 0.000 | 0.063 | 0.000 | 0.031 | 0.041 | 0.038 | 0.084 |
| Manual | 0.076 | 0.384 | 0.504 | 0.021 | 0.074 | 0.115 | 0.135 | 0.071 | 0.129 | 0.102 | 0.247 | 0.310 | 0.004 | 0.157 | 0.054 | 0.159 | 0.140 | 0.052 | 0.388 | 0.053 | 1.000 | 0.356 | 0.046 | 0.029 | 0.018 | 0.067 | 0.007 | 0.535 | 0.185 | 0.085 | 0.168 | 0.011 | 0.251 | 0.011 | 0.049 | 0.060 | 0.065 | 0.027 |
| Microbus | 0.056 | 0.268 | 0.187 | 0.000 | 0.020 | 0.123 | 0.227 | 0.133 | 0.000 | 0.123 | 0.036 | 0.010 | 0.052 | 0.061 | 0.000 | 0.095 | 0.079 | 0.024 | 0.163 | 0.000 | 0.356 | 1.000 | 0.009 | 0.021 | 0.124 | 0.000 | 0.000 | 0.164 | 0.000 | 0.115 | 0.066 | 0.000 | 0.230 | 0.005 | 0.180 | 0.014 | 0.023 | 0.022 |
| Mileage | 0.000 | -0.032 | 0.030 | 0.000 | 0.000 | 0.158 | 0.000 | 0.159 | 0.000 | 0.005 | 0.026 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.037 | -0.047 | 0.046 | 0.009 | 1.000 | 0.000 | 0.000 | 0.000 | -0.205 | -0.354 | 0.038 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.049 | 0.000 | 0.024 |
| Minivan | 0.057 | 0.148 | 0.007 | 0.000 | 0.031 | 0.048 | 0.176 | 0.160 | 0.001 | 0.047 | 0.016 | 0.018 | 0.077 | 0.081 | 0.000 | 0.018 | 0.117 | 0.012 | 0.056 | 0.024 | 0.029 | 0.021 | 0.000 | 1.000 | 0.103 | 0.000 | 0.000 | 0.084 | 0.006 | 0.169 | 0.091 | 0.000 | 0.016 | 0.013 | 0.059 | 0.024 | 0.012 | 0.137 |
| Petrol | 0.096 | 0.147 | 0.121 | 0.000 | 0.132 | 0.167 | 0.545 | 0.179 | 0.000 | 0.120 | 0.061 | 0.070 | 0.047 | 0.512 | 0.056 | 0.023 | 0.064 | 0.233 | 0.054 | 0.071 | 0.018 | 0.124 | 0.000 | 0.103 | 1.000 | 0.005 | 0.000 | 0.080 | 0.041 | 0.150 | 0.120 | 0.019 | 0.000 | 0.027 | 0.008 | 0.070 | 0.064 | 0.078 |
| Pickup | 0.052 | 0.025 | 0.024 | 0.000 | 0.000 | 0.031 | 0.039 | 0.042 | 0.000 | 0.055 | 0.019 | 0.000 | 0.019 | 0.023 | 0.000 | 0.028 | 0.031 | 0.000 | 0.030 | 0.039 | 0.067 | 0.000 | 0.000 | 0.000 | 0.005 | 1.000 | 0.000 | 0.000 | 0.019 | 0.046 | 0.018 | 0.000 | 0.028 | 0.000 | 0.000 | 0.000 | 0.003 | 0.000 |
| Price | 0.000 | -0.053 | 0.000 | 0.000 | 0.000 | -0.030 | 0.000 | 0.056 | 0.000 | 0.000 | 0.000 | 0.032 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.002 | 0.007 | 0.000 | -0.205 | 0.000 | 0.000 | 0.000 | 1.000 | 0.295 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| Prod. year | 0.107 | 0.176 | 0.351 | 0.000 | 0.082 | -0.162 | 0.084 | -0.040 | 0.050 | 0.256 | 0.301 | 0.153 | 0.047 | 0.171 | 0.024 | 0.089 | 0.073 | 0.066 | 0.367 | 0.392 | 0.535 | 0.164 | -0.354 | 0.084 | 0.080 | 0.000 | 0.295 | 1.000 | 0.518 | 0.118 | 0.233 | 0.036 | 0.082 | 0.070 | 0.058 | 0.053 | 0.096 | 0.238 |
| Russia | 0.035 | 0.115 | 0.095 | 0.000 | 0.000 | 0.056 | 0.027 | 0.029 | 0.000 | 0.074 | 0.033 | 0.000 | 0.014 | 0.029 | 0.000 | 0.048 | 0.000 | 0.010 | 0.080 | 0.013 | 0.185 | 0.000 | 0.038 | 0.006 | 0.041 | 0.019 | 0.000 | 0.518 | 1.000 | 0.000 | 0.035 | 0.000 | 0.005 | 0.000 | 0.022 | 0.000 | 0.008 | 0.015 |
| Sedan | 0.251 | 0.202 | 0.000 | 0.000 | 0.159 | 0.084 | 0.255 | 0.086 | 0.024 | 0.125 | 0.099 | 0.100 | 0.380 | 0.000 | 0.033 | 0.160 | 0.575 | 0.149 | 0.100 | 0.094 | 0.085 | 0.115 | 0.000 | 0.169 | 0.150 | 0.046 | 0.000 | 0.118 | 0.000 | 1.000 | 0.097 | 0.000 | 0.027 | 0.039 | 0.000 | 0.127 | 0.063 | 0.137 |
| South Korea | 0.271 | 0.547 | 0.238 | 0.000 | 0.025 | 0.301 | 0.257 | 0.222 | 0.031 | 0.374 | 0.313 | 0.059 | 0.198 | 0.205 | 0.038 | 0.440 | 0.042 | 0.236 | 0.231 | 0.149 | 0.168 | 0.066 | 0.000 | 0.091 | 0.120 | 0.018 | 0.000 | 0.233 | 0.035 | 0.097 | 1.000 | 0.016 | 0.153 | 0.049 | 0.221 | 0.049 | 0.113 | 0.162 |
| Sweden | 0.000 | 0.031 | 0.009 | 0.000 | 0.004 | 0.132 | 0.002 | 0.029 | 0.000 | 0.000 | 0.015 | 0.000 | 0.009 | 0.012 | 0.000 | 0.023 | 0.000 | 0.000 | 0.000 | 0.000 | 0.011 | 0.000 | 0.000 | 0.000 | 0.019 | 0.000 | 0.000 | 0.036 | 0.000 | 0.000 | 0.016 | 1.000 | 0.022 | 0.000 | 0.008 | 0.000 | 0.000 | 0.000 |
| Turbo | 0.057 | 0.226 | 0.355 | 0.000 | 0.026 | 0.100 | 0.194 | 0.020 | 0.059 | 0.188 | 0.264 | 0.151 | 0.086 | 0.149 | 0.013 | 0.167 | 0.028 | 0.062 | 0.104 | 0.063 | 0.251 | 0.230 | 0.000 | 0.016 | 0.000 | 0.028 | 0.000 | 0.082 | 0.005 | 0.027 | 0.153 | 0.022 | 1.000 | 0.076 | 0.066 | 0.021 | 0.057 | 0.030 |
| UK | 0.061 | 0.038 | 0.050 | 0.000 | 0.054 | 0.049 | 0.018 | 0.034 | 0.000 | 0.053 | 0.047 | 0.000 | 0.004 | 0.041 | 0.000 | 0.066 | 0.043 | 0.013 | 0.034 | 0.000 | 0.011 | 0.005 | 0.000 | 0.013 | 0.027 | 0.000 | 0.000 | 0.070 | 0.000 | 0.039 | 0.049 | 0.000 | 0.076 | 1.000 | 0.032 | 0.000 | 0.011 | 0.000 |
| USA | 0.120 | 0.065 | 0.032 | 0.000 | 0.000 | 0.100 | 0.007 | 0.059 | 0.019 | 0.115 | 0.211 | 0.062 | 0.029 | 0.020 | 0.024 | 0.297 | 0.003 | 0.058 | 0.027 | 0.031 | 0.049 | 0.180 | 0.000 | 0.059 | 0.008 | 0.000 | 0.000 | 0.058 | 0.022 | 0.000 | 0.221 | 0.008 | 0.066 | 0.032 | 1.000 | 0.037 | 0.033 | 0.098 |
| Universal | 0.023 | 0.120 | 0.011 | 0.000 | 0.022 | 0.057 | 0.098 | 0.039 | 0.049 | 0.036 | 0.000 | 0.012 | 0.057 | 0.026 | 0.000 | 0.024 | 0.087 | 0.000 | 0.032 | 0.041 | 0.060 | 0.014 | 0.049 | 0.024 | 0.070 | 0.000 | 0.000 | 0.053 | 0.000 | 0.127 | 0.049 | 0.000 | 0.021 | 0.000 | 0.037 | 1.000 | 0.005 | 0.035 |
| Variator | 0.060 | 0.153 | 0.308 | 0.000 | 0.032 | 0.095 | 0.103 | 0.121 | 0.005 | 0.100 | 0.105 | 0.020 | 0.254 | 0.210 | 0.002 | 0.225 | 0.094 | 0.021 | 0.190 | 0.038 | 0.065 | 0.023 | 0.000 | 0.012 | 0.064 | 0.003 | 0.000 | 0.096 | 0.008 | 0.063 | 0.113 | 0.000 | 0.057 | 0.011 | 0.033 | 0.005 | 1.000 | 0.208 |
| Wheel | 0.002 | 0.316 | 0.080 | 0.000 | 0.014 | 0.092 | 0.132 | 0.144 | 0.000 | 0.022 | 0.087 | 0.001 | 0.281 | 0.002 | 0.010 | 0.296 | 0.120 | 0.000 | 0.346 | 0.084 | 0.027 | 0.022 | 0.024 | 0.137 | 0.078 | 0.000 | 0.000 | 0.238 | 0.015 | 0.137 | 0.162 | 0.000 | 0.030 | 0.000 | 0.098 | 0.035 | 0.208 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| Price | Levy | Prod. year | Leather interior | Mileage | Cylinders | Wheel | Airbags | China | France | Germany | Italy | Japan | Russia | South Korea | Sweden | UK | USA | Coupe | Goods wagon | Hatchback | Jeep | Microbus | Minivan | Pickup | Sedan | Universal | Diesel | Hybrid | LPG | Petrol | Engine volume int | Turbo | Automatic | Manual | Variator | 4x4 | Front | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 13328 | 1399 | 2010 | 0 | 186005 | 6.0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3.5 | 0.0 | 1 | 0 | 0 | 1 | 0 |
| 1 | 16621 | 1018 | 2011 | 1 | 192000 | 6.0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3.0 | 0.0 | 0 | 0 | 0 | 1 | 0 |
| 2 | 8467 | 0 | 2006 | 1 | 200000 | 4.0 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1.3 | 0.0 | 0 | 0 | 1 | 0 | 1 |
| 3 | 3607 | 862 | 2011 | 0 | 168966 | 4.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2.5 | 0.0 | 1 | 0 | 0 | 1 | 0 |
| 4 | 11726 | 446 | 2014 | 0 | 91901 | 4.0 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1.3 | 0.0 | 1 | 0 | 0 | 0 | 1 |
| 5 | 39493 | 891 | 2016 | 0 | 160931 | 4.0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2.0 | 0.0 | 1 | 0 | 0 | 0 | 1 |
| 6 | 1803 | 761 | 2010 | 0 | 258909 | 4.0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1.8 | 0.0 | 1 | 0 | 0 | 0 | 1 |
| 7 | 549 | 751 | 2013 | 0 | 216118 | 4.0 | 0 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2.4 | 0.0 | 1 | 0 | 0 | 0 | 1 |
| 8 | 1098 | 394 | 2014 | 0 | 398069 | 4.0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.5 | 0.0 | 1 | 0 | 0 | 0 | 1 |
| 9 | 26657 | 0 | 2007 | 0 | 128500 | 6.0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3.5 | 0.0 | 1 | 0 | 0 | 1 | 0 |
| Price | Levy | Prod. year | Leather interior | Mileage | Cylinders | Wheel | Airbags | China | France | Germany | Italy | Japan | Russia | South Korea | Sweden | UK | USA | Coupe | Goods wagon | Hatchback | Jeep | Microbus | Minivan | Pickup | Sedan | Universal | Diesel | Hybrid | LPG | Petrol | Engine volume int | Turbo | Automatic | Manual | Variator | 4x4 | Front | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 19227 | 29793 | 1053 | 2014 | 0 | 219030 | 6.0 | 0 | 12 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3.5 | 0.0 | 1 | 0 | 0 | 1 | 0 |
| 19228 | 706 | 1850 | 2008 | 0 | 122874 | 6.0 | 0 | 12 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3.5 | 0.0 | 1 | 0 | 0 | 0 | 0 |
| 19229 | 50 | 0 | 2008 | 1 | 150000 | 4.0 | 0 | 6 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1.5 | 0.0 | 1 | 0 | 0 | 0 | 1 |
| 19230 | 470 | 645 | 2011 | 0 | 307325 | 4.0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1.8 | 0.0 | 1 | 0 | 0 | 0 | 1 |
| 19231 | 5802 | 1055 | 2013 | 0 | 107800 | 6.0 | 0 | 12 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3.5 | 0.0 | 1 | 0 | 0 | 0 | 0 |
| 19232 | 8467 | 0 | 1999 | 0 | 300000 | 4.0 | 0 | 5 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2.0 | 1.0 | 0 | 1 | 0 | 0 | 0 |
| 19233 | 15681 | 831 | 2011 | 0 | 161600 | 4.0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2.4 | 0.0 | 0 | 0 | 0 | 0 | 1 |
| 19234 | 26108 | 836 | 2010 | 0 | 116365 | 4.0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2.0 | 0.0 | 1 | 0 | 0 | 0 | 1 |
| 19235 | 5331 | 1288 | 2007 | 0 | 51258 | 4.0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2.0 | 0.0 | 1 | 0 | 0 | 0 | 1 |
| 19236 | 470 | 753 | 2012 | 0 | 186923 | 4.0 | 0 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.4 | 0.0 | 1 | 0 | 0 | 0 | 1 |
Most frequently occurring
| Price | Levy | Prod. year | Leather interior | Mileage | Cylinders | Wheel | Airbags | China | France | Germany | Italy | Japan | Russia | South Korea | Sweden | UK | USA | Coupe | Goods wagon | Hatchback | Jeep | Microbus | Minivan | Pickup | Sedan | Universal | Diesel | Hybrid | LPG | Petrol | Engine volume int | Turbo | Automatic | Manual | Variator | 4x4 | Front | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 919 | 18817 | 609 | 2018 | 0 | 35058 | 4.0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.5 | 0.0 | 1 | 0 | 0 | 0 | 1 | 24 |
| 132 | 392 | 781 | 2012 | 0 | 314373 | 4.0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.5 | 0.0 | 1 | 0 | 0 | 0 | 1 | 23 |
| 658 | 11133 | 394 | 2014 | 0 | 179381 | 4.0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.5 | 0.0 | 1 | 0 | 0 | 0 | 1 | 23 |
| 247 | 784 | 394 | 2014 | 0 | 102397 | 4.0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.5 | 0.0 | 1 | 0 | 0 | 0 | 1 | 22 |
| 417 | 3607 | 781 | 2012 | 0 | 156518 | 4.0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.5 | 0.0 | 1 | 0 | 0 | 0 | 1 | 22 |
| 468 | 5018 | 779 | 2013 | 0 | 190549 | 4.0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.5 | 0.0 | 1 | 0 | 0 | 0 | 1 | 22 |
| 302 | 1098 | 394 | 2014 | 0 | 398069 | 4.0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.5 | 0.0 | 1 | 0 | 0 | 0 | 1 | 21 |
| 259 | 862 | 394 | 2014 | 0 | 130478 | 4.0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.5 | 0.0 | 1 | 0 | 0 | 0 | 1 | 20 |
| 392 | 3136 | 781 | 2012 | 0 | 159379 | 4.0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.5 | 0.0 | 1 | 0 | 0 | 0 | 1 | 20 |
| 104 | 314 | 1017 | 2017 | 0 | 26802 | 4.0 | 0 | 12 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2.0 | 0.0 | 1 | 0 | 0 | 0 | 0 | 19 |